From: facebookresearch <github.com/facebookresearch>Newsgroups: alt.freeweights.toolsSubject:

FAISS

Release: v1.16.0 (2026-11-10)Commit: 6ccfd5fLicense: MIT

A library for efficient similarity search and clustering of dense vectors.

retrievalv1.16.0releaseFAISSC++MIT
FactsLicenseMITLanguageC++KindretrievalRelease2026-11-10PlatformsLinux, macOS, WindowsLinks to the projectpermissive
$ conda install -c pytorch -c conda-forge faiss-cpu=1.16.0

Overview

Library for similarity search over dense vectors, on CPU and GPU.

Kind
retrieval
License
MIT
Language
C++
Platforms
Linux, macOS, Windows
Latest release
v1.16.0 (2026-11-10)
Repository
facebookresearch/faiss

Freeweights links to the project and does not host tool binaries.

Install

$ conda install -c pytorch -c conda-forge faiss-cpu=1.16.0
$ conda install -c pytorch -c conda-forge faiss-cpu=1.16.0

Checked against the project's README on 2026-11-14. The project's own instructions win when they differ: install docs

Freeweights links to the project and does not host tool binaries.

Use with Freeweights

Use a catalog model

Download the weights from Freeweights first (HF_ENDPOINT or fw.py), then point the tool at the folder.

Catalog models it can run (354)

and 294 more.

License

License
MIT
Class
Permissive

Read the license

Freeweights links to the project and does not host tool binaries.

Provenance

From: facebookresearch <github.com/facebookresearch>Newsgroups: alt.freeweights.toolsSubject: FAISSRelease: v1.16.0 (2026-11-10)Commit: 6ccfd5fLicense: MIT
Repository
facebookresearch/faiss
Pinned release
v1.16.0, 2026-11-10
Release commit
6ccfd5f9be2283ebc037564bb45c6ba63b71e96a
Default branch
main ebab8f784c1d177129602269d5ad966c525fbdcb
Fetched
2026-11-14
Takedowns
None.

Freeweights links to the project and does not host tool binaries.

Works with

354 catalog models. See the list